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FSP Advanced Materials
FSP Aviation Technologies
FSP Civil Infrastructure Systems
FSP Cyber Physical Systems
FSP Environmental & Energy Systems
FSP Logistics Management & Technology
FSP Maritime Systems
FSP Medical Technology & Biomechanics
FSP Workshop Biobased Processes and Reactor Technologies
DFG-Priority Program
Technische Biokatalyse
Systemverfahrenstechnik
Chemische Reaktionstechnik
Mehrphasenströmungen
Abwasserwirtschaft und Gewässerschutz
Bioprozess- und Biosystemtechnik
Bioprozess- und Biosystemtechnik
Wasserressourcen und Wasserversorgung
Prozessbildgebung
Mehrphasenströmungen
Mehrphasenströmungen
Technische Mikrobiologie
Entwicklung und Modellierung neuartiger nanoporöser Materialien
Feststoffverfahrenstechnik und Partikeltechnologie
Umwelttechnik und Energiewirtschaft
Circular Resource Engineering and Management
Technische Biokatalyse
Technische Biokatalyse
Thermische Verfahrenstechnik
Mikrosystemtechnik
Systemverfahrenstechnik
Kunststoffe und Verbundwerkstoffe
Material- und Röntgenphysik
METHODS OF RESEARCH IN SCIENCE AND ENGINEERING
Coordination: Prof. Sabine Le Borne, leborne(a)tuhh.de
In addition to the application-related research fields, the development of scientific methods is a priority in many areas of the TUHH.
Methods are generally divided into three areas: experimental methods, modelling and simulation, and data science.
In mathematics in particular, method development is the core of research and is used in many research fields.
The following list represents the research landscape of the TUHH as an example, but is not a complete enumeration of the actual activities at the TUHH in this area.
EXPERIMENTAL METHODS
[Translate to Alternative:]
- Material Testing
- Process & Material Imaging
- Experimental Analytics
- Characterization of System Properties
- Functional Demonstrators
- Pilot Scale Experiments
- Pre-clinical Testing
- Power-Hardware-in-the-Loop Test
- Remote Sensing
MODELLING & SIMULATION
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- Process and Material Analytics
- Math. Analysis of Models
- Dynamical Systems
- Optimization
- Discretization Techniques
- Numerical Methods
- Control Theory
- Computational Engineering
- High Performance Computing
- Combinatorics
- Algorithms
- Networks and Graph Theory
- Theoretical Computer Science
- Operating Systems
- Operations Research
- Innovation Management
DATA SCIENCE
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- Machine Learning
- Neural Networks
- Computer Vision
- Data Compression
- Data Driven Modeling
- Probability
- Statistics
- Explainable Artificial Intelligence
- Hardware Accelerators for AI
TU Hamburg
Hamburg University
of Technology
Am Schwarzenberg-Campus 1
21073 Hamburg
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